nlp engineer

HCLTech

Frisco, Texas
 Job Summary
 
The Generative AI Engineer will be responsible for designing, developing, and deploying AI-driven solutions leveraging large language models (LLMs), diffusion models, and other generative frameworks. The role involves collaborating closely with data scientists, software engineers, and business teams to create intelligent, context-aware applications that enhance automation, creativity, and decision-making across the enterprise.
 
Key Responsibilities
 
Design, fine-tune, and deploy large language models (LLMs) and other generative models for specific business use cases.
 <ul>
<li>Build and optimize prompt engineering and model interaction strategies for improved output accuracy and relevance.</li>
<li>Develop APIs, pipelines, and integrations to embed generative AI capabilities into products and workflows.</li>
<li>Collaborate with data engineers to ensure high-quality, domain-relevant datasets for model training and evaluation.</li>
<li>Implement responsible AI principles, including bias mitigation, explainability, and data governance.</li>
<li>Monitor model performance and continuously refine models through feedback loops and retraining.</li>
<li>Stay up to date with emerging trends in AI research, frameworks (e.g., LangChain, Hugging Face, OpenAI API), and open-source tools.</li>
<li>Contribute to internal knowledge sharing and best practices for scalable AI deployment.</li>
</ul>
Skill Requirements
 
o Proficiency in Python and frameworks such as PyTorch or TensorFlow.
 
o Experience in SQL, Machine Learning, Big Dat and other Databases.
 
o Experience with LLM APIs (OpenAI, Anthropic, Gemini, etc.) and vector databases (Pinecone, FAISS, Weaviate).
 o Familiarity with prompt engineering, model fine-tuning, and reinforcement learning from human feedback (RLHF).
 o Strong understanding of NLP, deep learning, and data pipeline design.
 o Exposure to cloud platforms (AWS, Azure, GCP) and MLOps tools for model deployment.
 o Strong problem-solving and analytical thinking.
 
Other Requirements
 
Certifications in GenAI or Agentic AI
 
Maximum Salary (US):Minimum Salary (US): 
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Platform Engineer I

Nyla Technology Solutions

Job Description
 
ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED
 
Ready to push the boundaries of natural language processing and AI? In this role, you will be at the forefront of automated language processing, tackling complex natural language data from both spoken and written origins. You won't just run off-the-shelf models—you’ll architect autonomous tokenization pipelines, build automated part-of-speech annotation solutions, and rigorously score and benchmark model performance against human-annotated baselines. If you thrive on pushing the boundaries of NLP, fine-tuning machine learning models, and bringing cutting-edge AI/LLM capabilities to high-stakes missions, you’ll fit right in with Team Nyla.
 
The annual base salary range for this role is $152,000-$180,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
 
,
 Required Skills
 
Python Expertise: Advanced, production-level proficiency in Python for data manipulation, algorithmic modeling, and NLP tool development.
 
Natural Language Processing (NLP): Extensive hands-on experience designing and deploying core NLP workflows, including tokenization, text normalization, and parts-of-speech (POS) tagging.
 
Model Evaluation & Scoring: Demonstrated track record of benchmarking machine learning/NLP models, performing error analysis, and measuring accuracy against human-annotated datasets.
 
Multi-Modal Language Processing: Practical experience processing diverse natural language datasets originating from both spoken (transcribed) and written sources.
 
Education: Bachelor’s Degree in Data Science, Computer Science, Computational Linguistics, Mathematics, or a related technical discipline, PLUS 7+ years of professional experience in data science, NLP, or software engineering OR Master’s Degree in a related field, PLUS 5+ years of relevant professional experience OR High School Diploma / GED, PLUS 11+ years of specialized technical experience in lieu of a degree.
 
,
 Desired Skills
 
AI & Large Language Models (LLMs): Hands-on experience testing, fine-tuning, or integrating modern LLMs and generative AI frameworks into production analytical pipelines.
 Machine Learning & Frameworks: Familiarity with modern ML libraries and deep learning frameworks (e.g., PyTorch, TensorFlow, Hugging Face, spaCy, NLTK).
 MDLA & Domain Experience: Prior exposure to Massively Distributed Language Processing Frameworks (MDLA) or specialized language processing architectures.
 AI Testing & Evaluation: Practical experience constructing evaluation testbeds and testing strategies for emerging AI/ML techniques.
 ,
 About Nyla Technology Solutions
 
Nyla Technology Solutions delivers exceptional Artificial Intelligence (AI), Data Science, and Software Engineering services for the U.S. Government. Nyla embraces a forward-thinking and bold approach at every turn, earning us a solid reputation of technical trendsetters within the industry. We have a passion for developing solutions that have a quick and immediate impact on mission. Headquartered in Columbia, Maryland, our customers love how we tackle their most challenging problems and get things done.
 
If you have the unique experience and expertise we are seeking, along with the desire and determination to invest your time and energy as a part of Nyla’s team,
 
Taking Care of All of You
 Nyla provides a top-of-market compensation and benefits package. And through our unique Nyla FLEX program, we custom tailor these benefits to best fit your lifestyle.
 
The Nyla FLEX benefit program is designed to offer you flexibility in the 3 biggest areas of your life: your pay, your leave, and your schedule.
 
PAY - Nyla starts with 4 weeks of Annual Leave plus 11 holidays and an additional day of Annual Leave for each year you’re at the company. You have the flexibility to cash out your annual leave hours, opt out of other Nyla benefits, and/or arrange for additional hours on contract* (over 40 hrs/week). There’s even an option to earn 1.3 times your hourly rate once you work over 1880 hours on contract!
 
LEAVE - Want to spend more time with the family? Want more time to travel the world? You can BUY additional annual leave for a total of 6 weeks of annual leave. That’s up to 240 hours of leave plus 11 holidays! That’s not even including paid anniversary leave!
 
SCHEDULE - Does the traditional 40-hour workweek no longer fit your lifestyle? With Nyla FLEX, you have the freedom to scale down to 30-32 hours while still enjoying the top-notch Nyla benefits you know and love. It's flexibility that works for you without compromising the perks!
 
WHAT ABOUT OTHER BENEFITS? Nyla’s health care (medical, dental, and vision) is 100% covered by the company. We provide 10% 401k matching - with full vesting day 1! Our Professional Development offers $5,000 per year to be used towards fees, tuition, or time off for your continued growth. We even have a student loan repayment program and we provide 8 hours of volunteering annually so you can support your community, making your world a better place.
 
To learn more about Nyla's culture and our exceptional benefit packages click here.
 Nyla is an equal opportunity employer.

Senior Machine Learning Engineer

FTI Consulting, Inc.

<div>Who We Are 
 
FTI Consulting is the leading global expert firm for organizations facing crisis and transformation. We work with many of the world&rsquo;s top multinational corporations, law firms, banks and private equity firms on their most important issues to deliver impact that makes a difference. From resolving disputes, navigating crises, managing risk and optimizing performance, our teams respond rapidly to dynamic and complex situations.
 
 
At FTI Consulting, you&rsquo;ll work side-by side with leaders who have shaped history, helping solve the biggest challenges making headlines today. From day one, you&rsquo;ll be an integral part of a focused team where you can make a real impact. You&rsquo;ll be surrounded by an open, collaborative culture that embraces diversity, recognition, professional development and, most importantly, you.
 
 
Are you ready to make your impact?
About the Role
The eDiscovery Innovation Team at FTI Consulting is expanding rapidly as we make key investments in applying Generative AI and Machine Learning to some of the world&rsquo;s biggest disputes, investigations, and litigations.
Applied Scientists should have a pragmatic approach to problem-solving and be capable of developing end-to-end solutions that clients can rely on in production. They should be capable of challenging their own work and finding a balance between perfection and practicality.
What You&rsquo;ll Do
<ul><li>Prototype, validate, and implement AI/ML solutions on diverse and constantly evolving client datasets
</li><li>Apply the latest LLMs in Azure OpenAI and AWS Bedrock to tasks like:
<ul><li>summarization
</li><li>classification
</li><li>entity extraction
</li><li>text-to-query language generation
</li></ul></li><li>Develop RAG pipelines, semantic search, and hybrid search
</li><li>Create and implement new metrics, evaluation pipelines, and internal training/test datasets
</li><li>Survey, test, and critique use of emerging technologies to enhance existing solutions and develop new capabilities.
</li><li>Share your work with clients and colleagues and to both technical and non-technical audiences. You will help lead the way in the adoption of AI across the enterprise.
</li><li>Build industry expertise and become a contributor in deploying our solutions into client architectures.
</li></ul>How You&rsquo;ll Grow
We are committed to investing and supporting you in your professional development and we have developed a range of programs focused on fostering leadership, growth and development opportunities. We aim to promote continuous learning and individual skills development through on-the-job learning, self-guided professional development courses and certifications. You&rsquo;ll be assigned a dedicated coach to mentor, guide and support you through regular coaching sessions and serve as an advocate for your professional growth. As you progress through your career at FTI Consulting, we offer tailored programs for critical professional milestones to ensure you are prepared and empowered to take on your next role.
What You&rsquo;ll Need to Succeed
Basic Qualifications
<ul><li>2+ years of practical, relevant experience building NLP/IR/ML systems, from ideation to production
</li><li>Bachelor&rsquo;s degree or relevant experience
</li><li>High level of analytical programming competency (e.g., Python, R)
</li><li>Hands-on development experiment with LLMs, deep learning NLP models and traditional ML techniques
</li><li>Ability to travel to clients and FTI office(s) as needed
</li><li>Applicants must be currently authorized to work in the United States on a full-time basis; this position does not provide visa sponsorship
</li></ul>Preferred Qualifications
<ul><li>Experience with Elasticsearch, OpenSearch, or other Lucene technologies
</li><li>Experience with C# and .NET
</li><li>Experience with Docker and an understanding of Kubernetes
</li><li>Solid software engineering skills for prototyping
</li><li>Experience with working in cloud architectures (AWS, Azure, etc.)
</li><li>Experience in a customer-facing role 
</li></ul> 
FTI Consulting is an equal opportunity employer and does not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. 
 
Compensation
Minimum Pay: $101,500
 
Maximum Pay: $142,000
Compensation Disclosure: The compensation range reflects potential base salary for the role. Actual compensation is determined based on a wide array of relevant factors including market considerations, business needs, and an individual&rsquo;s location, skills, level of experience, and qualifications.</div>

eDiscovery Data Scientist | Technology Consulting

eBay

<div><div>JOB DESCRIPTION
</div><div>At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.
Senior Technical Staff Member, Applied Research (T27)
<h2 class="jobSectionHeader">San Jose, CA</h2>
Position Overview
eBay is looking for a Senior Member of Technical Staff, Applied Research to update the search stack and develop new conversational search and natural language query features. This role involves hands-on work as an individual contributor who can shift between applied research, quick prototyping, production deployment, and close collaboration with engineering and product teams.
This position centers on improving how users convey shopping intent through natural language and how eBay interprets, retrieves, ranks, and responds to those signals in modern search experiences. The ideal candidate blends solid research instincts with practical production skills and is eager to transform new NLP and LLM capabilities into scalable systems that deliver clear customer and business results.
Based in San Jose, the role partners with applied research, search engineering, product, and platform teams to improve discovery foundations and foster richer conversational experiences.
<h2 class="jobSectionHeader">What You Will Own</h2>
<ul><li>Build, prototype, and productionize solutions for conversational search and natural language query understanding</li>
<li>Assist in updating the search stack across query understanding, retrieval, ranking, and response generation layers</li>
<li>Develop methods for intent understanding, query rewriting, semantic retrieval, result grounding, and multi-turn refinement</li>
<li>Partner with science and engineering teams to integrate data-informed approaches into production systems with strong latency, quality, and reliability characteristics</li>
<li>Build and evaluate NLQ solutions that help buyers express complex shopping needs more naturally and get more relevant outcomes</li>
<li>Build offline and online evaluation frameworks for conversational quality, retrieval efficiency, relevance, and customer impact</li>
<li>Contribute technical depth on model selection, timely and system build, experimentation, and measurement</li>
<li>Raise the technical bar through hands-on implementation, code reviews, build discussions, and cross-team collaboration</li>
</ul><h2 class="jobSectionHeader">What Makes This Role Distinct</h2>
<ul><li>This is a highly practical individual contributor role, not a people-management position</li>
<li>Success relies on technical implementation, prototyping speed, and the capacity to transform unclear problem areas into functional systems</li>
<li>The role combines applied research with product-focused engineering, placing a strong emphasis on delivering practical improvements in conversational search and NLQ.</li>
</ul><h2 class="jobSectionHeader">Minimum Qualifications</h2>
<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or a related technical area, or equivalent hands-on experience</li>
<li>8+ years of experience in applied research, machine learning, search, NLP, or related engineering roles</li>
<li>Strong hands-on experience building and shipping production-quality ML, NLP, or search systems</li>
<li>Deep expertise in one or more of the following areas:</li>
</ul>Dialogue-based search and information retrieval
<h2 class="jobSectionHeader">1. NLP, intent understanding, semantic parsing, or query reformulation</h2>
Large language model applications for search, assistance, or question answering
<h2 class="jobSectionHeader">1. Ranking, retrieval, embeddings, or relevance optimization</h2>
<ul><li>Strong coding and system development skills, with the ability to independently drive complex technical work from concept through production</li>
<li>Demonstrated ability to evaluate technical tradeoffs across quality, latency, scalability, and maintainability</li>
</ul><h2 class="jobSectionHeader">Preferred Qualifications</h2>
<ul><li>Advanced degree such as an MS or PhD in Computer Science, Machine Learning, NLP, Information Retrieval, or a related field, or equivalent experience</li>
<li>Experience modernizing search or discovery systems in ecommerce, consumer technology, or large-scale digital platforms</li>
<li>Experience working on natural language query platforms, conversational interfaces, or LLM-powered product experiences</li>
<li>Track record of translating research ideas into product impact through experimentation and iterative deployment</li>
<li>Strong communication skills and the ability to guide technical direction across partner teams without formal authority</li>
</ul><h2 class="jobSectionHeader">Location and Ways of Working</h2>
This position is located in San Jose, California. It involves close cooperation with both local and remote teams and demands effective interaction across departments and locations.
Occasional travel may be needed for planning, reviews, and partner collaboration.
<h2 class="jobSectionHeader">Why This Role Matters</h2>
This role will help build the technical foundations of how conversational commerce evolves at eBay. You will develop systems that let customers search more naturally, express intent more richly, and discover the right inventory with less effort and more confidence!
Additional Details
The base pay range for this position is expected in the range below:
$217,600 - $290,500
Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
If hired, employees will be in an &ldquo;at-will position&rdquo; and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Remote roles are not eligible for U.S. visa sponsorship.
eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center and AI Hiring Guideline.
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Senior Member of Technical Staff

TikTok

Technology
 
Machine Learning Engineer Intern (TikTok-Data-Search-Search Quality) - 2026 Start (PhD)
 
Location
 :
 
San Jose
 
Employment Type
 :
 
Intern
 
Job Code
 :
 
A46838
 
Responsibilities
 
The Search team builds the systems that help users find relevant, reliable, and engaging content across TikTok. The team works across search retrieval, ranking, recommendation signals, query understanding, relevance, infrastructure, and product experiences. Our work combines large-scale machine learning, data-driven product development, and distributed systems to improve search quality for a global user base.
 
We are looking for talented individuals to join us for an internship. PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, as well as to the organization's future plans and emerging technologies.
 
Our dynamic internship experience blends hands-on learning, enriching community-building and professional development events, and collaboration with industry experts.
 
Applications will be reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume (Start date, End date).
 
Responsibilities
 <ul>
<li>Support the design, implementation, testing, and iteration of Search features, services, or tools under the guidance of engineers and mentors.</li>
<li>Work with large-scale data, logs, metrics, or experiments to understand user search behavior and improve product or system quality.</li>
<li>Collaborate with engineering, product, data science, and machine learning partners to define requirements and deliver project milestones.</li>
<li>Write clear, maintainable code and documentation for assigned workstreams.</li>
<li>Communicate progress, risks, and learnings with mentors and stakeholders throughout the internship.</li>
</ul>
Qualifications
 
Minimum Qualifications
 <ul>
<li>Must be able to commit to a 12-week full-time work.</li>
<li>Currently pursuing a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.</li>
<li>Proficient coding skills and strong algorithm & data structure basis.</li>
<li>Effective communication and teamwork skills.</li>
<li>Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning.</li>
</ul>
Preferred Qualifications
 <ul>
<li>Experience with search, recommendation, machine learning, information retrieval, natural language processing, ranking, ads, content understanding, or data mining projects.</li>
<li>Familiarity with databases, distributed systems, data pipelines, experimentation, or large-scale backend services.</li>
<li>Experience using data to investigate product, user, or system problems.</li>
<li>Ability to communicate technical ideas clearly and collaborate with cross-functional partners.</li>
<li>Interest in improving search experiences for large-scale consumer products.</li>
</ul>
Job Information
 
【For Pay Transparency】Compensation Description (Hourly) - Campus Intern
 
The hourly rate range for this position in the selected city is $60- $60.
 
​
 
Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.
 
​
 
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
 
​
 
For Los Angeles County (unincorporated) Candidates: 
​
 
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
 
​
 
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
 
​
 
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
 
​
 
3. Exercising sound judgment.
 
​
 
About TikTok
 
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
 
​
 
Why Join Us
 
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
 
​
 
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
 
​
 
​
 
Diversity & Inclusion
 
​
 
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
 
​
 
TikTok Accommodation
 
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at
 
https://tinyurl.com/RA-request

Machine Learning Engineer Intern (TikTok-Data-Search-Search Quality) - 2026 Start (PhD)

GE Vernova

<div><div><div>GE Vernova is embracing cutting-edge technologies to streamline operations, improve customer experiences, and drive growth. As part of this vision, we are building a dedicated team to leverage Generative AI and redefine how we engage with our industry. The ultimate goal of the team is to automate prompting, develop a framework for prompting across use cases to maximize reuse as well as sharing across businesses.
 
 
We are seeking a highly motivated and talented AI Engineer to join our dynamic team. The successful candidate will be responsible for creating and optimizing prompts for LLMs, collaborating with domain experts and end users to develop software solutions that address both internal and external needs. This position offers a great opportunity to work at the intersection of advanced technology and traditional industry, making a tangible impact on our business processes.
 
 
We are driving strategy and leading research &amp; development efforts to execute on the business&rsquo;s mission to help power the energy transition. We forge the collaborations and help invent the technologies required to electrify and decarbonize for a zero-carbon future.
 
Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova&rsquo;s businesses, the U.S. government, and more than 420 entities at the forefront of technology to execute on 150+ energy-focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy.
<h1 class="jobSectionHeader">Job Description</h1>
<ul><li>Collaborate with domain experts to understand business needs and translate them into clear and effective LLM prompts.</li>
<li>Develop, test, and refine prompts for a variety of use cases, ensuring high accuracy and relevance in generated outputs.</li>
<li>Work closely with software developers to integrate LLM solutions into existing or new applications.</li>
<li>Contribute to the development of a scalable framework for prompt engineering, promoting reuse and knowledge sharing across different business units.</li>
<li>Assist in gathering and analyzing user feedback to continually improve prompt effectiveness.</li>
<li>Stay up-to-date with advancements in LLM technology and contribute to strategic decisions on tool and platform selection.</li>
<li>Document prompt engineering processes, best practices, and use case outcomes to build a comprehensive knowledge base.</li>
</ul>Qualifications/Requirements:
<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, Mathematics, or related field with 5+ years' relevant experience.</li>
</ul>Ideal Candidate Characteristics:
<ul><li>Master&rsquo;s degree in AI Engineering, Computer Science, Engineering, Data Science, or related field</li>
<li>Experience with prompt engineering and familiarity with tools such as OpenAI&rsquo;s GPT models, Hugging Face, etc.</li>
<li>Proficiency in Python or other programming languages commonly used in AI/ML development.</li>
<li>Experience with machine learning frameworks (e.g., PyTorch) and data processing libraries (e.g., Pandas, NumPy).</li>
<li>Previous experience or internships involving NLP or machine learning projects.</li>
<li>Familiarity with version control systems like Git.</li>
<li>Understanding of traditional industry operations and challenges.</li>
<li>Strong problem-solving skills and attention to detail.</li>
<li>Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.</li>
<li>Ability to work collaboratively in a team environment and adapt to changing project requirements.</li>
</ul><div><div><div><div><div><div><div>GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
</div></div></div></div></div></div></div><div><div><div><div><div><div><div>GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
</div></div></div></div></div></div></div><div><div><div><div><div><div><div>Relocation Assistance Provided: Yes 
</div></div></div></div></div></div></div>For candidates applying to a U.S. based position, the pay range for this position is between $98,400.00 and $164,000.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate&rsquo;s experience, education, and skill set. 
Bonus eligibility: discretionary annual bonus. 
This posting is expected to remain open for at least seven days after it was posted on July 29, 2026. 
Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. 
GE Vernova Inc. or its affiliates (collectively or individually, &ldquo;GE Vernova&rdquo;) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.</div></div></div><div></div>

Staff Engineer - AI Engineering

Tax Relief Advocates

Are you a recent grad or early-career tech enthusiast ready to dive into AI and machine learning? Join our innovative team in Irvine, CA, to build cutting-edge models that automate tax form population, classify documents, predict client outcomes, and power intelligent tools in our tax automation ecosystem. No extensive experience required &ndash; just a passion for learning, stellar communication skills, and big ideas for transforming tax processes! What You'll Do Assist in designing, building, and fine-tuning machine learning models for document classification, entity extraction, and outcome prediction using tools like scikit-learn, PyTorch, or TensorFlow. Support internal departments by transforming legacy workflows through the integration of AI-powered tools. Evaluate Performance: Help establish metrics like recall, precision, and accuracy to assess model performance, optimizing to reduce errors in tax form extraction and chatbot responses. Deploy &amp; Monitor: Support model deployment using tools like MLflow, FastAPI, or Streamlit, and assist in versioning, logging, and monitoring live systems. Learn &amp; Grow: Contribute to a dynamic team, gaining hands-on experience with real-world AI applications in tax automation. What We're Looking For Education &amp; Experience: Recent graduate (0&ndash;2 years of experience, including internships) in AI, NLP, computer science, or related fields. Technical Skills: Basic proficiency in Python and familiarity with libraries like scikit-learn, PyTorch, or TensorFlow; familiarity with pandas for document extraction, a PDF extraction library, and/or token estimation libraries is a plus. Experience working with LLM APIs and their payload outputs (e.g., OpenAI, Azure AI), along with OCR/document intelligence tools (e.g., Azure Document Intelligence, Google Document AI). Interest in working with structured/unstructured data, especially financial or tax documents. Soft Skills: Exceptional communication skills to bridge technical and non-technical teams. Eager to learn, with a proactive approach to problem-solving. Strong documentation habits and a team-oriented mindset. Nice-to-Have Solid understanding of containerization, with experience building custom Docker images. Familiarity with security fundamentals like role-based access control or JWT-based authentication. Interest in regulatory or IRS compliance for AI models. Exposure to Azure Synapse, Power BI, or Snowflake. Experience with serverless architectures (e.g., AWS Lambda, Azure Functions) is a plus. Why Join Us? Work on transformative AI projects that revolutionize tax automation. Gain hands-on experience with the Azure stack, including tools like AI Foundry and Document Intelligence, alongside Python. Join a collaborative team in Irvine, CA, with mentorship to kickstart your ML career. Location: Irvine, CA - onsite preferred Compensation: Up to $85,000 - $100,000 depending on experience Position Type: Full-time, permanent We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. is an Equal Opportunity Employer. We value diversity and encourage all qualified individuals to apply.

Junior Machine Learning Engineer

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